PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-06 10:21:30.267461+00:00 (UTC)
In US/Central Time, this is 2024-06-06 05:21:30.267461-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/7db36a6ea1ea9207568b249ce96b887d78f6f91a07616ae765d7f0f7f54b48e8.png
We are just generating a random time serie here.
../_images/9b29a030b16e5481744bfef11e79806e39c63f70d79ab5accf37f781f288fe23.png
../_images/7ca54d3da13c6f7e6931db6dc1d9a457617f8cdae9e74ebcdefedb496aafcc46.png